• International Journal of Fuzzy Logic and Intelligent Systems
• /
• v.13 no.4
• /
• pp.315-323
• /
• 2013

Vessel Traffic Service (VTS) is being used at ports and in coastal areas of the world for preventing accidents and improving efficiency of the vessels at sea on the basis of "IMO RESOLUTION A.857 (20) on Guidelines for Vessel Traffic Services". Currently, VTS plays an important role in the prevention of maritime accidents, as ships are required to participate in the system. Ships are diversified and traffic situations in ports and coastal areas have become more complicated than before. The role of VTS operator (VTSO) has been enlarged because of these reasons, and VTSO is required to be clearly aware of maritime situations and take decisions in emergency situations. In this paper, we propose a prediction table to improve the work of VTSO through the Cognitive Work Analysis (CWA), which analyzes the VTS work very systematically. The required data were collected through interviews and observations of 14 VTSOs. The prediction tool supports decision-making in terms of a proactive measure for the prevention of maritime accidents.

• Journal of the Korean Institute of Intelligent Systems
• /
• v.23 no.3
• /
• pp.220-225
• /
• 2013

Accidents between ships occur frequently at the traffic congestion area. Once a maritime accidents occur, it is likely to end up with critical damaged accidents. This paper develop a simulator for assessing quantitative risk based on statical maritime traffic data and realtime traffic distribution. Ship's passage risk assessment simulator consist of import of division of passage data, traffic distribution analysis and passage risk assessment analysis. Maritime traffic data of WANDO waterway apply to simulator for calculation of quantitative risk rate of waterway.

• Journal of Engineering Education Research
• /
• v.13 no.5
• /
• pp.20-24
• /
• 2010

The total number of deaths by traffic accidents is decreasing every year in our country. However, in 2009, children died in traffic accidents at a rate of 2.3 deaths per 100,000 children, which was higher than the average of OECD countries (1.9 deaths per 100,000 children). In particular, traffic accidents are showing rapid increase in school zone during the past 2 years because of problems in the designation and management of school zone. Traffic safety facilities such as road sign, reflector mirror, speed bump have the ultimate limit of vehicle accidents prevention. Thus, in school zone, children safety is still not guaranteed due to illegal parking and the absence of driver's awareness of safety. Therefore, In order to protect children from traffic accidents within school zones, we have realized a safe school zone system, which enables the drivers to better know the intended school zones and creates pedestrian environment through unmanned monitoring camera, using LabVIEW.

• Proceedings of KOSOMES biannual meeting
• /
• 2018.06a
• /
• pp.50-50
• /
• 2018

• Proceedings of the Korean Institute of Navigation and Port Research Conference
• /
• 2016.05a
• /
• pp.13-14
• /
• 2016

Many ships' collision accidents occur due to unlawful action at sea. And also at shore traffic, many car collision accidents occur due to unlawful action. Therefore In this study we analyzes actual collision accidents at sea with the regards of liability. and search and analyze similar car collision accidents at shore traffic to compare it with the ship collision. In result, this study suggests the liabilities of the two different types accidents are needed to change more reasonable liability apportionment.

• Journal of the Korean Society of Marine Environment & Safety
• /
• v.24 no.5
• /
• pp.511-518
• /
• 2018

Research indicates, about 80% of maritime accidents are caused by human error. Further investigation of the human factors behind maritime casualties is essential in order to establish preventive measures. The main purpose of this study is to identify and analyze human factors behind maritime traffic-related accidents using the m-SHEL model. Since the m-SHEL model used in other fields is based on generic human factors, it has expanded in this study to accommodate ship operating systems and define human factors. In addition, the validity of the expanded model was verified by reliability analysis using SPSSWIN. A classified table for this extended m-SHEL model was then used to analyze human factors behind maritime traffic-related accidents extracted from a written verdict by the Korean Maritime Safety Tribunal. Human factors were arranged in the order L, L-E, L-H, L-m, L-L, and L-S. This paper contributes to the prevention of maritime traffic-related accidents caused by human factors by presenting useful analytical results that can be applied to build a maritime safety management system.

• Journal of the Korean Society of Marine Environment & Safety
• /
• v.19 no.2
• /
• pp.138-144
• /
• 2013

Large and small marine accidents which are related to vessel's navigation are happening continuously and these maritime accidents have caused loss of lives and properties, and serious maritime environmental pollution damage. It is also true that maritime pollution damage is increasing due to these accidents, probability of growth of seaborne volume and complicated maritime traffic environment. Korea, recently, is developing an evaluation index which can assess sea risk through the evaluation of maritime traffic environment and provide danger and general information with relation to maritime traffic environment on target sea area to evaluate maritime traffic safety. In this paper, we intend to confirm the validity of maritime traffic safety on the basis of vessel navigator's risk consciousness and various sailing conditions by using the ship handling simulator. To confirm the validity of sailing vessel's maritime traffic safety, we use analysis of variance. By using analysis of variance, we analyze vessel navigator's characteristics, distance, speed and encounter type between vessels. Through multiple comparison of each factor's risk difference, we can confirm the change of numerical value of risk difference in statistical aspect.

• Journal of Navigation and Port Research
• /
• v.31 no.10
• /
• pp.819-824
• /
• 2007

This paper studied safety benefit of operation-effectiveness analysis on marine traffic safety facilities. In the operation-effectiveness of marine traffic safety facilities the benefits can be divided as safety benefit, transport benefit, and other benefit. Safety benefit was produced as the loss aversion cost of marine traffic caused by the reduction of marine accidents after establishing and operating marine traffic safety facilities. First of all the reduction rate marine accidents was estimated to do it, and the detail model of loss aversion cost was constructed Then each variable in the model was defined and the method of computation presented.

• Journal of Navigation and Port Research
• /
• v.35 no.4
• /
• pp.289-297
• /
• 2011

This paper details the maritime accidents that occurred in the Philippines from 1972 to 2010. Firstly, it describes the general maritime situation in the country. It was followed by the traffic and safety infrastructure and the prevailing weather in the archipelago. The third section deals with the accidents' statistics and their geographical locations which is further sub-divided into three regions. It is grouped according to 10-year period. This paper describes the actual maritime situations, the pertinent national regulations, the inter-agencies policies and their safety regimes. It illustrates the shipping environment in the country including the maritime aids and infrastructure and the on human element factors.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
• /
• 2013.10a
• /
• pp.34-36
• /
• 2013

Despite the fact that navigation technology and educational programs were developed and maritime law has been enforced strictly, the number of maritime accidents has not dropped significantly. In order to reduce traffic accidents at sea, the preventive index for maritime accidents is designed and measured to evaluate and visualize the activities performed. The survey module is composed of preventive domains such as education, engineering, enforcement and information. The index was abstracted from the statistics of maritime accidents causes(2010~2012). It can be evaluated by using the newly developed survey modules. It was found that there is some correlation between the index value and the accident rate of maritime traffic. It is expected that this index will become another useful tool to help prevent maritime accidents.